0 4 Example: Macro Economic Indicator (EU 19)
TerenceLau edited this page 2021-06-10 10:15:00 +08:00

The module macroecon provides multiple API of getting macroeconomic indicator (EU 19):

from CEDA.macroecon import eu
data, column_list, description = eu.National_Account()
data, column_list, description = eu.International_Trade()
data, column_list, description = eu.Balance_of_Payments_BPM6()
data, column_list, description = eu.Leading_indicators_OECD()
data, column_list, description = eu.Monetary_Aggregates_Monthly_Adj()
data, column_list, description = eu.Monetary_Aggregates_Quarterly_Adj()
data, column_list, description = eu.Currency_Conversion_Quarterly()
data, column_list, description = eu.Currency_Conversion_Monthly()
data, column_list, description = eu.Interest_Rates_Quarterly()
data, column_list, description = eu.Interest_Rates_Monthly()
data, column_list, description = eu.Share_Prices_Quarterly()
data, column_list, description = eu.Share_Prices_Monthly()
data, column_list, description = eu.CPI_Monthly()
data, column_list, description = eu.CPI_Quarterly()
data, column_list, description = eu.PPI_Monthly()
data, column_list, description = eu.PPI_Quarterly()
data, column_list, description = eu.Business_Tendency_Surveys_Construction()
data, column_list, description = eu.Business_Tendency_Surveys_Services()
data, column_list, description = eu.Business_Tendency_Surveys_Manufacturing_Quarterly()
data, column_list, description = eu.Business_Tendency_Surveys_Manufacturing_Monthly()
data, column_list, description = eu.Business_Tendency_Surveys_Retail_Trade()
data, column_list, description = eu.Labor_Compensation_Quarterly_Adj()
data, column_list, description = eu.Labor_Compensation_Quarterly_NAdj()
data, column_list, description = eu.Unit_Labor_costs()
data, column_list, description = eu.Labor_Force_Survey_rates_Quarterly_Nadj()
data, column_list, description = eu.Labor_Force_Survey_Rates_Quarterly_Adj()
data, column_list, description = eu.Labor_Force_Rates_monthly_NAdj()
data, column_list, description = eu.Labor_Force_Survey_Level_Quarterly_NAdj()
data, column_list, description = eu.Labor_Force_Survey_Level_Quarterly_Adj()
data, column_list, description = eu.Labor_Force_Survey_Level_Monthly_Adj()
data, column_list, description = eu.Labor_Force_Survey_Level_Monthly_NAdj()
data, column_list, description = eu.Production_Monthly_Adj()
data, column_list, description = eu.Production_Quarterly_Adj()
data, column_list, description = eu.Production_Monthly_NAdj()
data, column_list, description = eu.Production_Quarterly_NAdj()
data, column_list, description = eu.Sales_Monthly_Adj()
data, column_list, description = eu.Sales_Quarterly_Adj()
data, column_list, description = eu.Sales_Monthly_NAdj()
data, column_list, description = eu.Sales_Quarterly_NAdj()
data, column_list, description = eu.Consumer_Opinion_Survey()

## ecb data
ecb_data = eu.ecb_data()
data = ecb_data.get_data(datacode="ICP", key="M.U2.N.000000.4.ANR", startdate="2000-01-01", enddate="2020-01-01")

## eurostat_data
eurostat_data = eu.eurostat_data()
data = eurostat_data.get_data(datasetcode="nama_10_gdp", precision="1", unit="CP_MEUR", na_item="B1GQ", time="2020")